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Data-driven science and engineering : (Record no. 76205)

MARC details
000 -LEADER
fixed length control field 01770nam a22002657a 4500
001 - CONTROL NUMBER
control field sulb0076438
003 - CONTROL NUMBER IDENTIFIER
control field BD-SySUS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211208165322.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211208s2019 enk b 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108422093 (hardback : alk. paper)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
Modifying agency BD-SySUS
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 620.00285631
Item number BRD
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Brunton, Steven L.
Fuller form of name (Steven Lee),
Dates associated with a name 1984-
Relator term author.
9 (RLIN) 10987
245 10 - TITLE STATEMENT
Title Data-driven science and engineering :
Remainder of title machine learning, dynamical systems, and control /
Statement of responsibility, etc. Steven L. Brunton, University of Washington, J. Nathan Kutz, University of Washington.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 1809
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge :
Name of producer, publisher, distributor, manufacturer Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice ©2019.
300 ## - PHYSICAL DESCRIPTION
Extent xxv, 472 p. :
Other physical details ill. ;
Dimensions 26 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. "Data-driven discovery is revolutionizing the modelling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modelling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Aimed at advanced undergraduate and beginning graduate students in the engineering and physical sciences, the text presents a range of topics and methods from introductory to state of the art"--
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering
General subdivision Data processing.
9 (RLIN) 38268
Topical term or geographic name as entry element Science
General subdivision Data processing.
9 (RLIN) 38269
Topical term or geographic name as entry element Mathematical analysis.
9 (RLIN) 38270
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kutz, Jose Nathan,
Relator term author.
9 (RLIN) 38271
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     Central Library, SUST Central Library, SUST General Stacks 08/12/2021   620.00285631 BRD 0076438 08/12/2021 1 08/12/2021 Books